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Record W2199791605 · doi:10.35680/2372-0247.1080

Improving process and enhancing parent and therapist satisfaction through a coordinated intake approach

2015· article· en· W2199791605 on OpenAlexaffabout
Sharla Piecowye, Devona Gibson, Janis Carscadden, Kayla Ueland, G. Beverly Wells, Scott Oddie

Bibliographic record

VenuePatient Experience Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsRed Deer PolytechnicAlberta Health Services
Fundersnot available
KeywordsFeelingConsistency (knowledge bases)Process (computing)Patient satisfactionRehabilitationPsychologyCognitionMedicineNursingApplied psychologySocial psychologyPhysical therapyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Recent research indicates that, in Canada, approximately one in five children entering school are not meeting age appropriate milestones in physical, social, language, or cognitive development. Even where support services are available families often face barriers in accessing these. With the goals of improving access to programs, reducing barriers and increasing consistency and efficiency, a new Coordinated Intake Approach (CIA) was developed for families accessing Children’s Rehabilitation Services. It was expected that the CIA would result in 1) parents finding the intake process more satisfactory and easier to complete, 2) therapists feeling more supported and satisfied and 3) a decrease in wait times from the date referrals were received to initial contact with families. Initial data was collected prior to CIA implementation through parent telephone interviews and therapist surveys. This data was then compared with telephone interviews, therapist surveys and chart reviews completed following implementation. Results were consistent with expectations, suggesting that a family centered, CIA contributed to increased parent and therapist satisfaction as well as improved process efficiency. CIA successes and areas for improvement are identified. Possible directions for further process enhancements are also discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.373
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes2
Has abstractyes

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